Fundamentals

Telecom operators are moving from legacy systems to cloud-native networks built for speed, scale and resilience As global data demands accelerate and next-generation services take shape, the telecom industry finds …

As AI reshapes nearly every industry, the infrastructure supporting these technologies is rapidly evolving Though often mentioned together, AI colocation and AI edge data centers serve different roles in delivering …

As artificial intelligence continues to transform industries worldwide, the demand for high-performance AI infrastructure is expanding at a fast pace These facilities are the digital backbone for training and running …

The Nordic region — which includes Sweden, Norway, Denmark and Finland — is becoming one of the most important areas in the world for building AI infra Thanks to clean …

India is actively promoting AI adoption through initiatives like the IndiaAI mission India is rapidly emerging as a global hub for artificial intelligence (AI) development. As the demand for compute …

AI workloads don’t just consume energy—they consume it with patterns that are impossible to predict. This is why infrastructure upgrades are key In sum – what you need to know: …

In a world of cloud-native infrastructure, is the network still the backbone — or just another service in the stack? As telecom networks evolve into cloud-native, software-defined platforms, operators are …

Telcos are adopting chaos engineering to test resiliency, reduce downtime and ensure systems can withstand real-world failures — before they happen. As telecom networks adopt increasingly complex cloud-native architectures, traditional …

AI is changing the rules of data center design, and liquid cooling is emerging as a critical piece of the puzzle As artificial intelligence workloads grow more complex and power-hungry, …

Liquid cooling technology is certainly a strategic consideration for any data center company that wants to compete in the AI space As artificial intelligence (AI) continues to expand and becomes …

DevOps is the strategy of bringing together development and operations teams to collaborate to automate the network lifecycle; CI/CD is the execution of this strategy Vertically integrated, monolithic systems are …

SoftBank and KDDI are moving fast to have a leading position in the AI infra sector in Japan with their AI data centers Japan is rapidly becoming a hub for …

As networks go cloud-native, telecom operators face pivotal choices between telco private clouds or public and hybrid clouds As telecom networks transition to cloud-native architectures, operators face key decisions about …

AI-optimized data centers require GPUs, TPUs, high-speed networking, advanced cooling systems, as well as fast and scalable storage As artificial intelligence (AI) continues to rapidly evolve, the demand for high-performance …

In sum – what you need to know AI for internal telco efficiencies – AI is being used so successfully in customer care and network maintenance that service agents are …

Unlike traditional CPUs or GPUs, a Tensor Processing Unit is specifically built to handle the complex calculations required for deep learning models Artificial intelligence (AI) is changing the world, and …

As artificial intelligence (AI) continues to advance at a fast pace, data centers need to evolve to handle the growing demand for computing power. Traditional air-based cooling systems are struggling …

As artificial intelligence (AI) continues to expand, the demand for data centers has skyrocketed. AI applications require massive computing power, leading to higher energy consumption. Many AI data centers are …

An AI hyperscale data center is a large facility designed to support AI workloads on a massive scale In today’s digital world, artificial intelligence (AI) is growing rapidly. To support …

To protect AI data centers from cyber threats, physical intrusions and operational failures, organizations must implement strong security measures As artificial intelligence (AI) adoption continues to grow, the security of …

The rise of artificial intelligence (AI) has driven an unprecedented demand for high-performance computing infrastructure, leading to a surge in the construction of AI-focused datacenters. However, scaling these datacenters efficiently …

As artificial intelligence (AI) continues to expand at a fast pace, data centers needs to evolve to handle its demands. AI data centers are designed to support complex AI workloads, …

Spirent’s Principal Product Manager says that Wi-Fi 7 can finally deliver the speeds that ISPs promise — all the way to the end user During a presentation at the Wi-Fi …

As artificial intelligence (AI) adoption accelerates across industries, India is emerging as a key player in AI-driven data infrastructure. The Asian country is witnessing a surge in AI data centers, …

  As artificial intelligence (AI) continues to evolve, the demand for faster and more efficient computing is growing at a fast pace. One of the key innovations helping to meet …